Empower Your Business With The Magic Of Machine Learning!

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How Artificial Intelligence , Shopping Data and mobiplus shopping personalization platform helps retailers increase revenues by 30% ?

NAFTEMPORIKI and Takis Spiliopoulos full interview ! 2 out of 100 customers buy when enter your eshop and 20 out of 100 in store because they find it difficult to discover products they desire. The prediction era for ecommerce and retail is here! The leaders in E-commerce and retail predict what customers will buy and recommend it.

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Present  offers to the right customers and increase revenues by 30%

mobiplus offers Recommendation Engine Mobiplus  Offers Recommendation Engine , a tool of  Mobiplus Shopping Recommendation Platform ,is  a valuable tool  for e-shops and retailers to enhance their sales and profitability. Eshops and retaillers can create the offers they desire from the administration panel, mobiplus offers engine retrains on the fly , predicts which customers would

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mobiplus destocking engine  for e-shops and retailers!

Reduce your excess   inventory and increase profitability! Mobiplus destocking engine takes into account eshops and retailers stock, see which products have significant stock, retrains the mobiplus shopping recommendation engine on the fly, predicts which customer would like to buy its products and recommends it. This way helps eshops to reduce stock significantly and increases profitability.

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What are the 4   pillars of in store personalization and how they benefit Retailers?

In store personalization is the next battle ground in retail .There are four pillars   in store personalization that will help retailers to win the battle: 1.Customer Profiling   and Segmentation: This pillar develops client profiles and segments using information about the consumer, such as purchase history and browsing habits. Then, retailers may utilize this data to

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